Quantum-Enhanced Bayesian Inference for Complex Systems Simulation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-Enhanced Bayesian Inference (QEBI) presents a novel approach to complex systems simulation, aiming to significantly improve model accuracy through the application of quantum mechanics in Bayesian inference. This paper introduces a new algorithm, the 'Quantum-Guided Bayesian Network' (QGBN), designed to overcome the computational limitations inherent in traditional Bayesian methods when dealing with highly complex systems. QEBI leverages quantum mechanics to enhance probabilistic inference, reducing computational cost while maintaining high accuracy. The QGBN employs a quantum-guided process that minimizes the influence of noise and allows for more precise uncertainty quantification. We demonstrate its effectiveness through simulations of a dynamic, multi-layered system exhibiting complex interactions and sensitivity to initial conditions. The results show substantial improvements in model accuracy and reduced computational time compared to existing methods.

DOI: 10.5281/zenodo.22190296

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